In MultiIndex dataframe: I want to insert a row ex at top and keep the first level of MultiIndex hidden. The expected result is I tried concat: However it become I also tried first concat without index, then groupby multiply index. But pandas will automatically sort by MultiIndex. As a result, ex row cannot b…
Tag: pandas
Drop first nan rows in multiple columns
I have the below df: I want to structure the data so the first NaN rows are deleted by column. Resuling df: I’m essentially trying to shift the column data up by n rows depending on where the data starts for that column, so at the first rows of ID there is always data in at least 1 of the
Read multiple csv files into a single dataframe and rename columns based on file of origin – Pandas
I have around 100 csv files with each one containing the same three columns. There are several ways to read the files into a single dataframe, but is there a way that I could append the file name to the column names in order to keep track of the origin of the columns? I have now tried to import the
How to remove domain of a websites on pandas dataframe
Here’s the dataset Heres’s my expected output Answer You can use a regex to get the part before the first dot, combined with pop to remove the Website column: output:
How to generate 2-yaxis graphs on a panel data per id?
I have a dataset, df that looks like this: Date Code City State Quantity x Quantity y Population Cases Deaths 2019-01 10001 Los Angeles CA 445 0 0 2019-01 10002 Sacramento CA 4450 556 0 0 2020-03 12223 Houston TX 440 4440 35000000 23 11 … … … … … … … … … 2…
subtracting time intervals from column dates in dataframes Pandas Python
How would I be able to subtract 1 second and 1 minute and 1 month from data[‘date’] column? Answer Your date column is of type string. Convert it to pd.Timestamp and you can use pd.DateOffset:
Merging two dataframes on timestamp while preserving all data
I want to merge two dataframes to create a single time-series with two variables. I have a function that does this by iterating over each dataframe using itterows()… which is terribly slow and doesn’t take advantage of the vectorization that pandas and numpy provide… Would you be able to hel…
Return row from a dataframe according to a list of priority values to search
I have a list of values in a sequence from most important to least important, if it doesn’t find a value, it searches for the next one and so on: Is there a more professional way to the same result or is this the correct model? Answer A possible solution involves turning your ‘market_name’ c…
Calculating the average value for every 10 cells in each column by pandas
In my excel csv files, there are around 1500 rows and 30 columns. I believe I can use python to complete it. so here is my target: How to let python read my excel file correctly. I want to reduce the number of rows to 1/10, so How can I calculate the average value for every 10 rows in each
Fastest way to filter csv using pandas and create a matrix
input dict I have large csv files in the below format basename_AM1.csv I have large csv files in the below format basename_AM1.csv Now I need to create a similarity dict like below for the given input_dict by searching/filter the csv files I have come up with the below logic but for an input_dict of 100 sampl…